What are AI agents, and why do they matter for your business?

The difference between AI and AI agents

Most people have used ChatGPT or Claude: you ask a question, it gives you an answer. That is AI as a conversation.

An AI agent is different. Instead of just answering, it can:

• Take a goal ("book me a meeting with this client")
• Break it into steps
• Use tools to complete each step (send an email, check your calendar, update your CRM)
• Handle problems along the way
• Report back when it is done

You give it a job. It does the job.

A simple example

Say you run a plumbing business. After every job, you want to:

1. Send the customer a thank-you message
2. Ask them to leave a Google review
3. Add them to your mailing list
4. Create a follow-up reminder for 6 months later

Today, you probably do none of this because it takes too long. An AI agent can do all four automatically, triggered the moment you mark a job as complete.

Why cheaper, faster models matter

OpenAI just released GPT-5.4 mini and nano. These are smaller, faster, and much cheaper to run than the full flagship models. That matters because:

• AI agents run many steps in sequence. With expensive models, that adds up quickly.
• Faster models mean your automations run in seconds, not minutes.
• Cheaper models mean you can run agents on every customer, every job, every enquiry, without worrying about cost.

The release of capable, cheap models is what makes AI agents practical for small businesses. A year ago, running an agent on 50 customer enquiries a day was expensive. Now it is not.

What can AI agents do for your business right now?

Here are things small businesses are already using agents for:

Sales follow-up. When someone fills in a contact form, an agent reads their message, checks what they asked about, drafts a personalised reply, and sends it. No human needed.

Review management. After a job or purchase, an agent sends a review request, monitors what comes in, and drafts a response to each review.

Scheduling. An agent reads incoming messages asking about availability, checks your calendar, suggests times, and confirms the booking.

Invoice chasing. An agent monitors outstanding invoices and sends polite chasers at the right intervals.

Research. Give an agent a list of potential clients and it researches each one, finds their contact details, and builds a brief before your sales call.

How to get started

The easiest entry point is Zapier. It has an AI layer built in, and you can set up basic agents without writing any code. Start with one workflow: pick the task you do most repetitively, and automate it.

If you want something more powerful, ChatGPT's agent features (available on Plus) and Claude's tool-use capabilities let you build more sophisticated flows.

AdaHQ will have a full guide to building your first AI agent soon.